Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3678
Missing cells	6835
Missing cells (%)	8.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	632.1 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`balcony` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 6 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`floorNum` is highly overall correlated with `property_type`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`floorNum` has 143 (3.9%) missing values	Missing
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1806 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73502311)	Skewed
`built_up_area` is highly skewed (γ1 = 40.71859279)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2024-01-21 03:35:04.351883
Analysis finished	2024-01-21 03:35:13.408404
Duration	9.06 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

property_type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.7 KiB

flat	2819
house	859

Length

Max length	5
Median length	4
Mean length	4.2335508
Min length	4

Characters and Unicode

Total characters	15571
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15571	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15571	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	294.0 KiB

Length

Max length	49
Median length	39
Mean length	16.867827
Min length	1

Characters and Unicode

Total characters	62023
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	vatika gurgaon
2nd row	rof aalayas
3rd row	bestech park view residency
4th row	la vida by tata housing
5th row	m3m heights

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	134	1.4%
Other values (783)	7499	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6712	10.8%
	6004	9.7%
a	5861	9.4%
r	4172	6.7%
n	4164	6.7%
i	3831	6.2%
t	3719	6.0%
s	3473	5.6%
l	2944	4.7%
o	2755	4.4%
Other values (31)	18388	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55474	89.4%
Space Separator	6004	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6712	12.1%
a	5861	10.6%
r	4172	7.5%
n	4164	7.5%
i	3831	6.9%
t	3719	6.7%
s	3473	6.3%
l	2944	5.3%
o	2755	5.0%
d	2489	4.5%
Other values (16)	15354	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
9	13	2.5%
0	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6004	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55474	89.4%
Common	6549	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6712	12.1%
a	5861	10.6%
r	4172	7.5%
n	4164	7.5%
i	3831	6.9%
t	3719	6.7%
s	3473	6.3%
l	2944	5.3%
o	2755	5.0%
d	2489	4.5%
Other values (16)	15354	27.7%

Common

Value	Count	Frequency (%)
	6004	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
9	13	0.2%
0	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62023	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6712	10.8%
	6004	9.7%
a	5861	9.4%
r	4172	6.7%
n	4164	6.7%
i	3831	6.2%
t	3719	6.0%
s	3473	5.6%
l	2944	4.7%
o	2755	4.4%
Other values (31)	18388	29.6%

sector
Text

Distinct	115
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

Length

Max length	26
Median length	9
Mean length	9.3175639
Min length	3

Characters and Unicode

Total characters	34270
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 83
2nd row	sector 102
3rd row	sector 2
4th row	sector 113
5th row	sector 65

Value	Count	Frequency (%)
sector	3449	46.7%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	106	1.4%
92	100	1.4%
69	93	1.3%
90	88	1.2%
81	87	1.2%
65	87	1.2%
Other values (107)	2923	39.6%

Most occurring characters

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1074	3.1%
0	802	2.3%
8	780	2.3%
Other values (21)	6207	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23306	68.0%
Decimal Number	7257	21.2%
Space Separator	3707	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3804	16.3%
s	3694	15.8%
r	3694	15.8%
e	3548	15.2%
c	3500	15.0%
t	3460	14.8%
a	698	3.0%
d	248	1.1%
n	230	1.0%
h	203	0.9%
Other values (10)	227	1.0%

Decimal Number

Value	Count	Frequency (%)
1	1074	14.8%
0	802	11.1%
8	780	10.7%
9	762	10.5%
6	741	10.2%
7	682	9.4%
2	678	9.3%
3	663	9.1%
5	592	8.2%
4	483	6.7%

Space Separator

Value	Count	Frequency (%)
	3707	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23306	68.0%
Common	10964	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3804	16.3%
s	3694	15.8%
r	3694	15.8%
e	3548	15.2%
c	3500	15.0%
t	3460	14.8%
a	698	3.0%
d	248	1.1%
n	230	1.0%
h	203	0.9%
Other values (10)	227	1.0%

Common

Value	Count	Frequency (%)
	3707	33.8%
1	1074	9.8%
0	802	7.3%
8	780	7.1%
9	762	7.0%
6	741	6.8%
7	682	6.2%
2	678	6.2%
3	663	6.0%
5	592	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34270	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3804	11.1%
	3707	10.8%
s	3694	10.8%
r	3694	10.8%
e	3548	10.4%
c	3500	10.2%
t	3460	10.1%
1	1074	3.1%
0	802	2.3%
8	780	2.3%
Other values (21)	6207	18.1%

price
Real number (ℝ)

HIGH CORRELATION

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5332177

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9803386
Coefficient of variation (CV)	1.1765031
Kurtosis	14.937313
Mean	2.5332177
Median Absolute Deviation (MAD)	0.72
Skewness	3.2796187
Sum	9274.11
Variance	8.8824181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
0.9	64	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.5%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

HIGH CORRELATION

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13890.407

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4716
Q1	6815
median	9020
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063

Descriptive statistics

Standard deviation	23207.3
Coefficient of variation (CV)	1.6707429
Kurtosis	186.9711
Mean	13890.407
Median Absolute Deviation (MAD)	2795
Skewness	11.438435
Sum	50852780
Variance	5.3857875 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
22222	13	0.4%
11111	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
33333	11	0.3%
Other values (2641)	3510	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	2559
Distinct (%)	69.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.0328

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519.06
Q1	1232.6
median	1733
Q3	2300.09
95-th percentile	4245.68
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.49

Descriptive statistics

Standard deviation	23164.348
Coefficient of variation (CV)	8.0208049
Kurtosis	942.2872
Mean	2888.0328
Median Absolute Deviation (MAD)	532.93
Skewness	29.735023
Sum	10573088
Variance	5.3658701 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3240	43	1.2%
2700	36	1.0%
2000	33	0.9%
1800	32	0.9%
900	28	0.8%
1350	20	0.5%
2250	20	0.5%
1000	18	0.5%
1650.17	17	0.5%
4500	17	0.5%
Other values (2549)	3397	92.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857.14	1	< 0.1%
620000	1	< 0.1%
566666.67	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517.24	2	0.1%
65261	1	< 0.1%
58227.85	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.3 KiB

Length

Max length	124
Median length	119
Mean length	54.242795
Min length	12

Characters and Unicode

Total characters	199505
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1848 ?
Unique (%)	50.2%

Sample

1st row	Super Built up area 1735(161.19 sq.m.)
2nd row	Super Built up area 597(55.46 sq.m.)Carpet area: 535.4 sq.ft. (49.74 sq.m.)
3rd row	Super Built up area 1780(165.37 sq.m.)
4th row	Super Built up area 1579(146.69 sq.m.)Built Up area: 1420 sq.ft. (131.92 sq.m.)Carpet area: 1220 sq.ft. (113.34 sq.m.)
5th row	Built Up area: 1433 (133.13 sq.m.)

Value	Count	Frequency (%)
area	5575	18.5%
sq.m	3656	12.1%
up	3022	10.0%
built	2317	7.7%
super	1876	6.2%
sq.ft	1752	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	703	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8703	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26475	13.3%
.	20397	10.2%
a	13158	6.6%
r	9459	4.7%
e	9323	4.7%
1	9209	4.6%
s	7570	3.8%
q	7434	3.7%
t	7327	3.7%
u	6774	3.4%
Other values (25)	82379	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82791	41.5%
Decimal Number	47153	23.6%
Space Separator	26475	13.3%
Other Punctuation	23415	11.7%
Uppercase Letter	8597	4.3%
Close Punctuation	5537	2.8%
Open Punctuation	5537	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13158	15.9%
r	9459	11.4%
e	9323	11.3%
s	7570	9.1%
q	7434	9.0%
t	7327	8.8%
u	6774	8.2%
p	6770	8.2%
m	5546	6.7%
l	3703	4.5%
Other values (5)	5727	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9209	19.5%
0	6631	14.1%
2	5689	12.1%
5	4716	10.0%
3	3963	8.4%
4	3712	7.9%
6	3675	7.8%
7	3254	6.9%
8	3158	6.7%
9	3146	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3022	35.2%
S	1876	21.8%
C	1872	21.8%
U	1146	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20397	87.1%
:	3018	12.9%

Space Separator

Value	Count	Frequency (%)
	26475	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5537	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5537	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108117	54.2%
Latin	91388	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13158	14.4%
r	9459	10.4%
e	9323	10.2%
s	7570	8.3%
q	7434	8.1%
t	7327	8.0%
u	6774	7.4%
p	6770	7.4%
m	5546	6.1%
l	3703	4.1%
Other values (10)	14324	15.7%

Common

Value	Count	Frequency (%)
	26475	24.5%
.	20397	18.9%
1	9209	8.5%
0	6631	6.1%
2	5689	5.3%
)	5537	5.1%
(	5537	5.1%
5	4716	4.4%
3	3963	3.7%
4	3712	3.4%
Other values (5)	16251	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199505	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26475	13.3%
.	20397	10.2%
a	13158	6.6%
r	9459	4.7%
e	9323	4.7%
1	9209	4.6%
s	7570	3.8%
q	7434	3.7%
t	7327	3.7%
u	6774	3.4%
Other values (25)	82379	41.3%

bedRoom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3599782

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8973801
Coefficient of variation (CV)	0.56470012
Kurtosis	18.218941
Mean	3.3599782
Median Absolute Deviation (MAD)	1
Skewness	3.4857171
Sum	12358
Variance	3.6000513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1497	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1497	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4244154

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9478158
Coefficient of variation (CV)	0.56880241
Kurtosis	17.548118
Mean	3.4244154
Median Absolute Deviation (MAD)	1
Skewness	3.2493833
Sum	12595
Variance	3.7939863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1078	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1078	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.2 KiB

3+	1172
3	1075
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3186514
Min length	1

Characters and Unicode

Total characters	4850
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	3+
4th row	2
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1075	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	43
Distinct (%)	1.2%
Missing	143
Missing (%)	3.9%
Infinite	0
Infinite (%)	0.0%
Mean	7.0347949

Minimum	0
Maximum	51
Zeros	6
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	5.9785676
Coefficient of variation (CV)	0.84985671
Kurtosis	4.6158719
Mean	7.0347949
Median Absolute Deviation (MAD)	3
Skewness	1.7150291
Sum	24868
Variance	35.743271
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	814	22.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	0.2%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	233.7 KiB

North-East	624
East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8393468
Min length	4

Characters and Unicode

Total characters	18008
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North
2nd row	North
3rd row	North-East
4th row	East
5th row	North-West

Common Values

Value	Count	Frequency (%)
North-East	624	17.0%
East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	624	23.7%
east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3776	21.0%
s	2015	11.2%
o	1761	9.8%
h	1761	9.8%
E	1420	7.9%
a	1420	7.9%
N	1204	6.7%
r	1204	6.7%
-	1143	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13089	72.7%
Uppercase Letter	3776	21.0%
Dash Punctuation	1143	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3776	28.8%
s	2015	15.4%
o	1761	13.5%
h	1761	13.5%
a	1420	10.8%
r	1204	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1420	37.6%
N	1204	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1143	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16865	93.7%
Common	1143	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3776	22.4%
s	2015	11.9%
o	1761	10.4%
h	1761	10.4%
E	1420	8.4%
a	1420	8.4%
N	1204	7.1%
r	1204	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1143	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18008	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3776	21.0%
s	2015	11.2%
o	1761	9.8%
h	1761	9.8%
E	1420	7.9%
a	1420	7.9%
N	1204	6.7%
r	1204	6.7%
-	1143	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.6 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.387167
Min length	9

Characters and Unicode

Total characters	49238
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Relatively New
3rd row	Old Property
4th row	Relatively New
5th row	Undefined

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	267	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.3%
property	896	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	267	3.8%
construction	267	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8432	17.1%
l	4721	9.6%
t	3639	7.4%
	3372	6.8%
y	3105	6.3%
r	2889	5.9%
d	2308	4.7%
N	2239	4.5%
w	2239	4.5%
i	2219	4.5%
Other values (15)	14075	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38816	78.8%
Uppercase Letter	7050	14.3%
Space Separator	3372	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8432	21.7%
l	4721	12.2%
t	3639	9.4%
y	3105	8.0%
r	2889	7.4%
d	2308	5.9%
w	2239	5.8%
i	2219	5.7%
a	2209	5.7%
o	1993	5.1%
Other values (7)	5062	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2239	31.8%
R	1646	23.3%
P	896	12.7%
O	866	12.3%
U	573	8.1%
M	563	8.0%
C	267	3.8%

Space Separator

Value	Count	Frequency (%)
	3372	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45866	93.2%
Common	3372	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8432	18.4%
l	4721	10.3%
t	3639	7.9%
y	3105	6.8%
r	2889	6.3%
d	2308	5.0%
N	2239	4.9%
w	2239	4.9%
i	2219	4.8%
a	2209	4.8%
Other values (14)	11866	25.9%

Common

Value	Count	Frequency (%)
	3372	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49238	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8432	17.1%
l	4721	9.6%
t	3639	7.4%
	3372	6.8%
y	3105	6.3%
r	2889	5.9%
d	2308	4.7%
N	2239	4.5%
w	2239	4.5%
i	2219	4.5%
Other values (15)	14075	28.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.0659

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.75
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.25

Descriptive statistics

Standard deviation	764.00459
Coefficient of variation (CV)	0.39687193
Kurtosis	10.355435
Mean	1925.0659
Median Absolute Deviation (MAD)	372
Skewness	1.8373191
Sum	3611423.5
Variance	583703.02
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1635	44.5%
(Missing)	1802	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.0657

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.5
Q1	1100
median	1650
Q3	2400
95-th percentile	4690
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17937.584
Coefficient of variation (CV)	7.5397598
Kurtosis	1668.8561
Mean	2379.0657
Median Absolute Deviation (MAD)	650
Skewness	40.718593
Sum	4023000
Variance	3.2175691 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
2700	33	0.9%
1350	33	0.9%
900	28	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (634)	1388	37.7%
(Missing)	1987	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	733
Distinct (%)	39.2%
Missing	1806
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1806	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2973
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2973	80.8%
1	705	19.2%

servant room
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2350
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

store room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3340
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3022
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3022	82.2%
1	656	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	3273
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3273	89.0%
1	405	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.1 KiB

0	2416
1	1056
2	206

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2416	65.7%
1	1056	28.7%
2	206	5.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2416	65.7%
1	1056	28.7%
2	206	5.6%

Most occurring characters

Value	Count	Frequency (%)
0	2416	65.7%
1	1056	28.7%
2	206	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2416	65.7%
1	1056	28.7%
2	206	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2416	65.7%
1	1056	28.7%
2	206	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2416	65.7%
1	1056	28.7%
2	206	5.6%

luxury_score
Real number (ℝ)

ZEROS

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.511419

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.051945
Coefficient of variation (CV)	0.74186676
Kurtosis	-0.87958765
Mean	71.511419
Median Absolute Deviation (MAD)	38
Skewness	0.45919115
Sum	263019
Variance	2814.5088
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2314	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	-0.117	0.274	-0.145	-0.159	-0.109	-0.066	0.092	0.085	0.215	-0.069	0.108	0.187	-0.135	-0.107	0.379	0.287	0.143	0.140	-0.082
area	-0.117	1.000	0.011	0.687	0.624	0.835	0.801	0.022	0.108	0.043	0.259	0.042	0.037	0.744	0.206	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.515	0.434	0.356	0.468	0.016	0.160	0.179	0.328	0.082	0.197	0.465	0.187	0.214	0.441	0.146	0.182	0.510
bathroom	-0.145	0.687	0.515	1.000	0.862	0.465	0.599	0.044	-0.031	0.198	0.179	0.070	0.286	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	-0.159	0.624	0.434	0.862	1.000	0.380	0.569	0.032	-0.136	0.168	0.057	0.079	0.291	0.681	0.417	0.595	0.317	0.223	0.154	0.799
built_up_area	-0.109	0.835	0.356	0.465	0.380	1.000	0.969	1.000	0.089	0.088	0.289	0.012	0.000	0.605	0.132	0.000	0.000	0.010	0.000	0.926
carpet_area	-0.066	0.801	0.468	0.599	0.569	0.969	1.000	0.000	0.167	0.000	0.239	0.016	0.000	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facing	0.092	0.022	0.016	0.044	0.032	1.000	0.000	1.000	0.011	0.049	0.069	0.000	0.029	-0.013	-0.028	0.094	0.036	0.036	0.000	0.019
floorNum	0.085	0.108	0.160	-0.031	-0.136	0.089	0.167	0.011	1.000	0.016	0.246	0.035	0.107	-0.022	-0.147	0.513	0.072	0.121	0.084	0.147
furnishing_type	0.215	0.043	0.179	0.198	0.168	0.088	0.000	0.049	0.016	1.000	0.313	0.059	0.216	0.307	0.244	0.080	0.271	0.156	0.142	0.163
luxury_score	-0.069	0.259	0.328	0.179	0.057	0.289	0.239	0.069	0.246	0.313	1.000	0.176	0.189	0.215	0.054	0.329	0.347	0.228	0.183	0.222
others	0.108	0.042	0.082	0.070	0.079	0.012	0.016	0.000	0.035	0.059	0.176	1.000	0.033	-0.001	-0.019	0.026	0.000	0.106	0.031	-0.016
pooja room	0.187	0.037	0.197	0.286	0.291	0.000	0.000	0.029	0.107	0.216	0.189	0.033	1.000	0.268	0.198	0.252	0.252	0.305	0.313	0.110
price	-0.135	0.744	0.465	0.720	0.681	0.605	0.613	-0.013	-0.022	0.307	0.215	-0.001	0.268	1.000	0.744	0.543	0.369	0.303	0.244	0.772
price_per_sqft	-0.107	0.206	0.187	0.411	0.417	0.132	0.136	-0.028	-0.147	0.244	0.054	-0.019	0.198	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.094	0.513	0.080	0.329	0.026	0.252	0.543	0.201	1.000	0.065	0.241	0.128	NaN
servant room	0.287	0.015	0.441	0.520	0.317	0.000	0.000	0.036	0.072	0.271	0.347	0.000	0.252	0.369	0.044	0.065	1.000	0.161	0.185	0.657
store room	0.143	0.039	0.146	0.244	0.223	0.010	0.000	0.036	0.121	0.156	0.228	0.106	0.305	0.303	0.000	0.241	0.161	1.000	0.226	0.033
study room	0.140	0.018	0.182	0.176	0.154	0.000	0.003	0.000	0.084	0.142	0.183	0.031	0.313	0.244	0.030	0.128	0.185	0.226	1.000	-0.015
super_built_up_area	-0.082	0.948	0.510	0.819	0.799	0.926	0.894	0.019	0.147	0.163	0.222	-0.016	0.110	0.772	0.287	NaN	0.657	0.033	-0.015	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	vatika gurgaon	sector 83	1.40	6628.0	2112.25	Super Built up area 1735(161.19 sq.m.)	3	3	2	7.0	NaN	Relatively New	1735.0	NaN	NaN	0	0	0	0	0	1	74
1	flat	rof aalayas	sector 102	0.45	8404.0	535.46	Super Built up area 597(55.46 sq.m.)Carpet area: 535.4 sq.ft. (49.74 sq.m.)	2	2	1	14.0	North	Relatively New	597.0	NaN	535.4	0	0	0	0	0	2	57
2	flat	bestech park view residency	sector 2	1.40	7865.0	1780.04	Super Built up area 1780(165.37 sq.m.)	3	3	3+	6.0	North	Old Property	1780.0	NaN	NaN	0	0	0	0	0	2	107
3	flat	la vida by tata housing	sector 113	1.65	10449.0	1579.10	Super Built up area 1579(146.69 sq.m.)Built Up area: 1420 sq.ft. (131.92 sq.m.)Carpet area: 1220 sq.ft. (113.34 sq.m.)	3	2	2	3.0	North-East	Relatively New	1579.0	1420.0	1220.0	0	0	0	0	0	0	49
4	flat	m3m heights	sector 65	2.15	15003.0	1433.05	Built Up area: 1433 (133.13 sq.m.)	2	2	3+	28.0	East	Undefined	NaN	1433.0	NaN	0	0	0	0	0	0	48
5	flat	supertech araville	sector 79	0.80	5266.0	1519.18	Carpet area: 1519 (141.12 sq.m.)	2	2	2	12.0	NaN	New Property	NaN	NaN	1519.0	1	0	0	0	0	0	49
6	flat	dlf new town heights	sector 90	1.15	5958.0	1930.18	Super Built up area 1930(179.3 sq.m.)	3	3	3+	9.0	North-West	Relatively New	1930.0	NaN	NaN	0	1	0	1	0	0	88
7	house	independent	sector 49	4.50	15625.0	2880.00	Plot area 320(267.56 sq.m.)	8	8	3	3.0	North-East	Moderately Old	NaN	2880.0	NaN	1	1	1	1	0	2	151
8	flat	emaar mgf the palm drive	sector 66	3.00	15384.0	1950.08	Super Built up area 1950(181.16 sq.m.)Built Up area: 1720 sq.ft. (159.79 sq.m.)Carpet area: 1620 sq.ft. (150.5 sq.m.)	3	3	2	12.0	East	Relatively New	1950.0	1720.0	1620.0	0	1	0	0	0	0	96
9	house	independent	sector 23	5.50	13095.0	4200.00	Plot area 4200(390.19 sq.m.)	9	9	3+	3.0	South	Moderately Old	NaN	4200.0	NaN	0	1	0	0	1	1	0

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	furnishing_type	luxury_score
3792	flat	dlf new town heights	sector 91	1.65	6345.0	2600.47	Super Built up area 2364(219.62 sq.m.)	4	4	3+	11.0	West	Moderately Old	2364.0	NaN	NaN	0	1	0	0	0	72
3794	flat	tulip violet	sector 69	1.55	9822.0	1578.09	Super Built up area 1578(146.6 sq.m.)	3	3	2	NaN	West	Relatively New	1578.0	NaN	NaN	0	0	0	1	1	129
3795	flat	vatika the seven lamps	sector 82	1.39	6412.0	2167.81	Super Built up area 2160(200.67 sq.m.)	3	3	3+	11.0	East	Relatively New	2160.0	NaN	NaN	1	1	0	0	1	117
3796	flat	unitech sunbreeze	sector 69	1.00	5476.0	1826.15	Built Up area: 1826 (169.64 sq.m.)	4	3	0	NaN	NaN	Undefined	NaN	1826.0	NaN	0	0	0	0	0	0
3797	flat	rof ananda	sector 95	0.26	6842.0	380.01	Carpet area: 380 (35.3 sq.m.)	1	1	1	8.0	North	New Property	NaN	NaN	380.0	0	0	0	0	0	49
3798	flat	dlf the ultima	sector 81	2.34	11185.0	2092.09	Super Built up area 2092(194.35 sq.m.)Built Up area: 1760 sq.ft. (163.51 sq.m.)Carpet area: 1670 sq.ft. (155.15 sq.m.)	3	4	3+	14.0	South-East	Relatively New	2092.0	1760.0	1670.0	0	1	0	0	2	174
3799	flat	bestech park view grand spa	sector 81	2.35	8834.0	2660.18	Super Built up area 2660(247.12 sq.m.)Carpet area: 2356 sq.ft. (218.88 sq.m.)	3	4	3+	6.0	North-East	Relatively New	2660.0	NaN	2356.0	0	1	0	0	1	101
3800	house	eldeco mansionz	sector 48	4.75	20299.0	2340.00	Plot area 260(217.39 sq.m.)	7	7	3	2.0	North-East	Moderately Old	NaN	2340.0	NaN	1	0	0	0	1	33
3801	flat	tulip violet	sector 69	1.90	9452.0	2010.16	Super Built up area 2010(186.74 sq.m.)Carpet area: 1500 sq.ft. (139.35 sq.m.)	4	4	2	6.0	West	Relatively New	2010.0	NaN	1500.0	0	0	1	0	0	174
3802	flat	ireo skyon	sector 60	3.75	13392.0	2800.18	Super Built up area 2800(260.13 sq.m.)Built Up area: 2650 sq.ft. (246.19 sq.m.)Carpet area: 2350 sq.ft. (218.32 sq.m.)	4	4	3	12.0	North	Relatively New	2800.0	2650.0	2350.0	0	1	0	0	1	49

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category